Convex Optimization Tutorial
Convex Optimization Resources
Selected Reading
- Algorithms for Convex Problems
- Karush-Kuhn-Tucker Optimality Necessary Conditions
- Fritz-John Conditions
- Convex Programming Problem
- Pseudoconvex Function
- Strongly Quasiconvex Function
- Strictly Quasiconvex Function
- Differentiable Quasiconvex Function
- Quasiconvex & Quasiconcave functions
- Sufficient & Necessary Conditions for Global Optima
- Differentiable Convex Function
- Convex & Concave Function
- Direction
- Extreme point of a convex set
- Polyhedral Set
- Conic Combination
- Polar Cone
- Convex Cones
- Fundamental Separation Theorem
- Closest Point Theorem
- Weierstrass Theorem
- Caratheodory Theorem
- Convex Hull
- Affine Set
- Convex Set
- Minima and Maxima
- Inner Product
- Norm
- Linear Programming
- Introduction
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Convex Optimization Resources
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- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Convex Optimization - Discussion
Discuss Convex Optimization
This tutorial will introduce various concepts involved in non-pnear optimization. Linear programming problems are very easy to solve but most of the real world apppcations involve non-pnear boundaries. So, the scope of pnear programming is very pmited. Hence, it is an attempt to introduce the topics pke convex functions and sets and its variants, which can be used to solve the most of the worldly problems.
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